Best U23 Young Players in the Superliga
128 players aged 23 or under · ranked by Analytical Strength Index
Best Young Players in the Superliga (Jul 2026)
Ranked by Analytical Strength Index
Use the search bar below to find specific players, or apply filters to narrow results by club, age range, or market value. Click the chart icon next to any player to view their historical value trajectory and forecast.
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Franculino
FC Midtjylland • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €24.2M
74.8
Youssoufa Moukoko
FC Copenhagen • 21 years old
€19.0M
€22.0M
+15.6%
Expected: €25.2M
73.9
Darío Osorio
FC Midtjylland • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €10.6M
61.5
Ousmane Diao
FC Midtjylland • 22 years old
€6.9M
€8.0M
+15.6%
Expected: €8.8M
58.5
Rodrigo Huescas
FC Copenhagen • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.9
Denil Castillo
FC Midtjylland • 22 years old
€4.8M
€5.5M
+15.6%
Expected: €5.8M
53.4
Kristian Arnstad
Aarhus GF • 22 years old
€4.3M
€5.0M
+15.6%
Expected: €5.3M
53.1
Benjamin Tahirović
Bröndby IF • 23 years old
€3.9M
€4.5M
+15.6%
Expected: €4.8M
51.6
Thomas Jørgensen
Viborg FF • 20 years old
€3.5M
€4.0M
+15.6%
Expected: €4.6M
48.3
Oscar Schwartau
Bröndby IF • 20 years old
€3.0M
€3.5M
+15.6%
Expected: €4.0M
46.6
Victor Bak
FC Midtjylland • 22 years old
€2.6M
€3.0M
+15.6%
Expected: €3.3M
42.5
William Clem
FC Copenhagen • 22 years old
€2.6M
€3.0M
+15.6%
Expected: €3.2M
42.3
Wahid Faghir
Vejle Boldklub • 22 years old
€2.2M
€2.5M
+15.6%
Expected: €2.6M
40.9
Filip Bundgaard
Bröndby IF • 22 years old
€2.2M
€2.5M
+15.6%
Expected: €2.6M
40.9
Mikel Gogorza
FC Midtjylland • 19 years old
€2.6M
€3.0M
+15.6%
Expected: €3.6M
40.4
Kasper Davidsen
Aalborg BK • 21 years old
€2.2M
€2.5M
+15.6%
Expected: €2.8M
39.4
Pedro Bravo
FC Midtjylland • 21 years old
€2.2M
€2.5M
+15.6%
Expected: €2.8M
39.4
Yoram Zague
FC Copenhagen • 20 years old
€2.2M
€2.5M
+15.6%
Expected: €3.0M
39.4
Adrian Mazilu
FC Dinamo 1948 • 20 years old
€2.2M
€2.5M
+15.6%
Expected: €2.9M
39.1
Noah Markmann
FC Nordsjaelland • 19 years old
€2.2M
€2.5M
+15.6%
Expected: €3.1M
38.9
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Explore Market Size by Position in Superliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Superliga Young Players. Identify undervalued assets and track market momentum across 20 clubs with €178.3M combined value.
Age Distribution: Superliga Young Players
The Superliga ALL market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (96 players, 75% of market). The 21-23 age group holds the most value at €147.0M, averaging €1.5M per player.
Top Young Players by Age Bracket
U21 Years (32 players)
21-23 Years (96 players)
Market Value Distribution
Elite Tier Concentration
The top 13 Young Players (10% of players) control €99.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 2% of the Superliga ALL pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Superliga Young Players
Among 20 Superliga clubs, FC Midtjylland leads with 14 Young Players worth €57.3M (averaging €4.1M per player). The top 10 clubs account for 75% of tracked Young Players.
FC Midtjylland (14 Young Players)
FC Copenhagen (10 Young Players)
Bröndby IF (11 Young Players)
Viborg FF (9 Young Players)
Scout Tools
Advanced analytics for scouting and recruitment decisions. Each tool provides unique insights into player value, potential, and market dynamics.
Pre-Peak Value Efficiency (PPVE)
Identifies pre-peak players offering exceptional value relative to their age bracket. Higher PPVE = better value.
Understanding Pre-Peak Value Efficiency (PPVE)
FC Copenhagen's Youssoufa Moukoko at 21 years old has the highest Pre-Peak Value Efficiency at 55.00×. That means Franculino is valued 55.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is FC Midtjylland's Franculino, who is 22 years old, with a 55.00× PPVE. Third is Darío Osorio of FC Midtjylland, who is 22 years old with a 25.00× PPVE.
How PPVE is calculated: PPVE compares a player's current market value to the median value of all players in their age bracket. A PPVE of 55.00× means the player is worth 5400% more than typical players their age-making them high-value targets before they reach peak value.
PPVE by Age Bracket
| Rank | Player | Age | Bracket | Current Value | Bracket Median | PPVE |
|---|---|---|---|---|---|---|
| #1 | Youssoufa Moukoko FC Copenhagen | 21 | 21-23 | €22.0M | €400K | 55.00× |
| #2 | Franculino FC Midtjylland | 22 | 21-23 | €22.0M | €400K | 55.00× |
| #3 | Darío Osorio FC Midtjylland | 22 | 21-23 | €10.0M | €400K | 25.00× |
| #4 | Ousmane Diao FC Midtjylland | 22 | 21-23 | €8.0M | €400K | 20.00× |
| #5 | Rodrigo Huescas FC Copenhagen | 22 | 21-23 | €6.0M | €400K | 15.00× |
| #6 | Denil Castillo FC Midtjylland | 22 | 21-23 | €5.5M | €400K | 13.75× |
| #7 | Kristian Arnstad Aarhus GF | 22 | 21-23 | €5.0M | €400K | 12.50× |
| #8 | Benjamin Tahirović Bröndby IF | 23 | 21-23 | €4.5M | €400K | 11.25× |
| #9 | Victor Bak FC Midtjylland | 22 | 21-23 | €3.0M | €400K | 7.50× |
| #10 | William Clem FC Copenhagen | 22 | 21-23 | €3.0M | €400K | 7.50× |
| #11 | Thomas Jørgensen Viborg FF | 20 | U21 | €4.0M | €600K | 6.67× |
| #12 | Wahid Faghir Vejle Boldklub | 22 | 21-23 | €2.5M | €400K | 6.25× |
| #13 | Filip Bundgaard Bröndby IF | 22 | 21-23 | €2.5M | €400K | 6.25× |
| #14 | Pedro Bravo FC Midtjylland | 21 | 21-23 | €2.5M | €400K | 6.25× |
| #15 | Kasper Davidsen Aalborg BK | 21 | 21-23 | €2.5M | €400K | 6.25× |
| #16 | Oscar Schwartau Bröndby IF | 20 | U21 | €3.5M | €600K | 5.83× |
| #17 | Robert FC Copenhagen | 21 | 21-23 | €2.2M | €400K | 5.50× |
| #18 | Robin Østrøm Silkeborg IF | 23 | 21-23 | €2.0M | €400K | 5.00× |
| #19 | Valdemar Byskov FC Midtjylland | 21 | 21-23 | €2.0M | €400K | 5.00× |
| #20 | Mateo Tanlongo FC Copenhagen | 22 | 21-23 | €2.0M | €400K | 5.00× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
Understanding Return-to-Peak Potential (RPP)
FC Copenhagen's William Glindtvad at 19 years old has the highest Return-to-Peak Potential at +44%. That means Nóel Atli Arnórsson is projected to appreciate 44% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is Aalborg BK's Nóel Atli Arnórsson, who is 19 years old, with a +44% RPP (7 years to peak). Third is Gavin Beavers of Bröndby IF, who is 21 years old with a +44% RPP (5 years to peak).
How RPP is calculated: RPP compares a player's current market value to their forecasted peak value, calculating the percentage appreciation potential. A 44% RPP means the player is expected to gain 44% value as they enter their prime-making them excellent growth investments.
Recovery Potential by Player
| Rank | Player | Age | Years to Peak | Current | Peak Forecast | RPP % |
|---|---|---|---|---|---|---|
| #1 | William Glindtvad FC Copenhagen | 19 | 7 | €400K | €715K | +44% |
| #2 | Nóel Atli Arnórsson Aalborg BK | 19 | 7 | €700K | €1.3M | +44% |
| #3 | Gavin Beavers Bröndby IF | 21 | 5 | €400K | €715K | +44% |
| #4 | Jacob Ambæk Bröndby IF | 18 | 8 | €1.0M | €1.8M | +44% |
| #5 | Noah Markmann FC Nordsjaelland | 19 | 7 | €2.5M | €4.5M | +44% |
| #6 | Aske Andrésen Silkeborg IF | 21 | 5 | €250K | €447K | +44% |
| #7 | William Lykke FC Nordsjaelland | 21 | 5 | €500K | €894K | +44% |
| #8 | Frederik Emmery Aarhus GF | 19 | 7 | €350K | €582K | +40% |
| #9 | Sofus Johannesen FC Midtjylland | 19 | 7 | €250K | €415K | +40% |
| #10 | Hunor Németh FC Copenhagen | 19 | 7 | €500K | €831K | +40% |
| #11 | Valdemar Møller Aalborg BK | 19 | 7 | €300K | €499K | +40% |
| #12 | Luka Callø Aarhus GF | 20 | 6 | €500K | €831K | +40% |
| #13 | Sabil Hansen Randers FC | 20 | 6 | €600K | €997K | +40% |
| #14 | Lukas Larsen Bröndby IF | 20 | 6 | €300K | €499K | +40% |
| #15 | Lasse Flø Vejle Boldklub | 20 | 6 | €400K | €665K | +40% |
| #16 | Lucas Høgsberg FC Nordsjaelland | 20 | 6 | €200K | €332K | +40% |
| #17 | Darius Fălcușan Universitatea Craiova | 20 | 6 | €200K | €332K | +40% |
| #18 | Mikkel Kannegaard Aarhus GF | 20 | 6 | €150K | €249K | +40% |
| #19 | Mark Ugboh FC Midtjylland | 22 | 4 | €150K | €249K | +40% |
| #20 | Olti Hyseni Sönderjyske Fodbold | 19 | 7 | €1.5M | €2.5M | +40% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Silkeborg IF's Aske Andrésen has the highest Risk-Adjusted Upside at 103.3. That means William Lykke has 23% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is FC Nordsjaelland's William Lykke with a 103.3 RAU (23% upside, 0% uncertainty). Third is Gavin Beavers of Bröndby IF with a 103.3 RAU (23% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 103.3 means the upside is 103.3× greater than the uncertainty-making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.
Risk-Adjusted Upside by Player
| Rank | Player | Expected | Range | Upside % | RAU |
|---|---|---|---|---|---|
| #1 | Aske Andrésen Silkeborg IF | €309K | €280K-337K | +23% | 103.3 |
| #2 | William Lykke FC Nordsjaelland | €617K | €561K-674K | +23% | 103.3 |
| #3 | Gavin Beavers Bröndby IF | €494K | €448K-539K | +23% | 103.3 |
| #4 | Mark Ugboh FC Midtjylland | €179K | €164K-193K | +19% | 100.1 |
| #5 | Noah Markmann FC Nordsjaelland | €3.1M | €2.7M-3.4M | +23% | 82.7 |
| #6 | William Glindtvad FC Copenhagen | €494K | €437K-551K | +23% | 82.7 |
| #7 | Nóel Atli Arnórsson Aalborg BK | €864K | €765K-964K | +23% | 82.7 |
| #8 | Andreas Gülstorff FC Nordsjaelland | €287K | €264K-310K | +15% | 79.9 |
| #9 | Pavlo Isenko Universitatea Craiova | €1.5M | €1.4M-1.6M | +15% | 79.9 |
| #10 | Luka Callø Aarhus GF | €595K | €527K-664K | +19% | 69.6 |
| #11 | Hjalte Bidstrup Viborg FF | €893K | €790K-996K | +19% | 69.6 |
| #12 | Sabil Hansen Randers FC | €714K | €632K-797K | +19% | 69.6 |
| #13 | Lukas Larsen Bröndby IF | €357K | €316K-398K | +19% | 69.6 |
| #14 | Mikkel Kannegaard Aarhus GF | €179K | €158K-199K | +19% | 69.6 |
| #15 | Yoram Zague FC Copenhagen | €3.0M | €2.6M-3.3M | +19% | 69.6 |
| #16 | Lasse Flø Vejle Boldklub | €476K | €422K-531K | +19% | 69.6 |
| #17 | Lucas Høgsberg FC Nordsjaelland | €238K | €211K-266K | +19% | 69.6 |
| #18 | Darius Fălcușan Universitatea Craiova | €238K | €211K-266K | +19% | 69.6 |
| #19 | Lukas Wagner AC Horsens | €229K | €203K-256K | +15% | 55.6 |
| #20 | Christian Østergaard Randers FC | €287K | €254K-320K | +15% | 55.6 |
Roster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
What This Shows
Z-Score explained: Measures how many standard deviations a player's strength is from the position average. Z-Score = 0 means average, +1.0 is one standard deviation above average, -1.0 is below average.
How to use: RPI < -1.0 indicates critical depth shortage. These positions need immediate reinforcement. RPI > +1.0 suggests strong depth, allowing selective, high-value additions only.
Current market: young player position shows weak depth (avg Z-score: -0.00). RPI: -0.00.
Position Depth Analysis
Highest Z-Scores
Lowest Z-Scores
Age-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Understanding Age-Share Concentration (ASC)
FC Midtjylland's Mark Ugboh in the 21-23 age bracket has the highest Age-Share Concentration at +7.4%. That means Franculino captures 82.4% of total market value while representing only 75.0% of players in their age group-showing dominant elite status.
In second is FC Midtjylland's Obule Moses with a +7.4% ASC (82.4% value share vs 75.0% player share in 21-23 bracket). Third is Mohamed Kanté of Odense Boldklub with a +7.4% ASC (82.4% value vs 75.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +7.4% ASC means the player captures 7.4% more market value than their numerical representation-indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.
Value Concentration by Player
| Rank | Player | Age Bracket | Value Share | Player Share | ASC |
|---|---|---|---|---|---|
| #1 | Mark Ugboh FC Midtjylland | 21-23 | 82.4% | 75.0% | +7.4% |
| #2 | Obule Moses FC Midtjylland | 21-23 | 82.4% | 75.0% | +7.4% |
| #3 | Mohamed Kanté Odense Boldklub | 21-23 | 82.4% | 75.0% | +7.4% |
| #4 | Yonis Njoh Viborg FF | 21-23 | 82.4% | 75.0% | +7.4% |
| #5 | Oskar Boesen Silkeborg IF | 21-23 | 82.4% | 75.0% | +7.4% |
| #6 | Robert FC Copenhagen | 21-23 | 82.4% | 75.0% | +7.4% |
| #7 | Ousmane Diao FC Midtjylland | 21-23 | 82.4% | 75.0% | +7.4% |
| #8 | Johannes Selvén Odense Boldklub | 21-23 | 82.4% | 75.0% | +7.4% |
| #9 | Richmond Gyamfi Aarhus GF | 21-23 | 82.4% | 75.0% | +7.4% |
| #10 | Youssoufa Moukoko FC Copenhagen | 21-23 | 82.4% | 75.0% | +7.4% |
| #11 | Mads Søndergaard Viborg FF | 21-23 | 82.4% | 75.0% | +7.4% |
| #12 | Cătălin Cîrjan FC Dinamo 1948 | 21-23 | 82.4% | 75.0% | +7.4% |
| #13 | Kristian Arnstad Aarhus GF | 21-23 | 82.4% | 75.0% | +7.4% |
| #14 | Robin Østrøm Silkeborg IF | 21-23 | 82.4% | 75.0% | +7.4% |
| #15 | Sofus Berger Silkeborg IF | 21-23 | 82.4% | 75.0% | +7.4% |
| #16 | Gustav Grubbe Odense Boldklub | 21-23 | 82.4% | 75.0% | +7.4% |
| #17 | Andreas Gülstorff FC Nordsjaelland | 21-23 | 82.4% | 75.0% | +7.4% |
| #18 | Christian Gammelgaard Vejle Boldklub | 21-23 | 82.4% | 75.0% | +7.4% |
| #19 | Wahid Faghir Vejle Boldklub | 21-23 | 82.4% | 75.0% | +7.4% |
| #20 | Marinus Larsen Bröndby IF | 21-23 | 82.4% | 75.0% | +7.4% |
Buy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
What This Shows
How to use:"Buy Now - High Upside" = immediate priority targets."Watch List" = monitor for 6-12 months."Peak" = pay premium for proven performers."Aging" = short-term depth only.
Current market: 23 immediate targets, 105 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
No players in this category
Price vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
What This Shows
How to use: Z-score < -1.5 = significantly undervalued (potential bargain). Z-score > +1.5 = premium pricing (requires strong justification). Within ±1.0 = fair market value.
Current market: Position median is €300K. 0 undervalued, 20 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Stefen Tchamche Aarhus GF | €150K | €500K | -0.64 | Good Value |
Mikkel Kannegaard Aarhus GF | €150K | €500K | -0.64 | Good Value |
Musa Touré Randers FC | €200K | €500K | -0.57 | Good Value |
Lucas Høgsberg FC Nordsjaelland | €200K | €500K | -0.57 | Good Value |
Darius Fălcușan Universitatea Craiova | €200K | €500K | -0.57 | Good Value |
Sofus Johannesen FC Midtjylland | €250K | €500K | -0.50 | Fair Value |
Sindre Walle Egeli FC Nordsjaelland | €250K | €500K | -0.50 | Fair Value |
Valdemar Møller Aalborg BK | €300K | €500K | -0.43 | Fair Value |
Adam Claridge Bröndby IF | €300K | €500K | -0.43 | Fair Value |
Lukas Larsen Bröndby IF | €300K | €500K | -0.43 | Fair Value |
Kristian Arnstad Aarhus GF | €5.0M | €500K | -0.40 | Fair Value |
Frederik Emmery Aarhus GF | €350K | €500K | -0.36 | Fair Value |
William Glindtvad FC Copenhagen | €400K | €500K | -0.29 | Fair Value |
Lasse Flø Vejle Boldklub | €400K | €500K | -0.29 | Fair Value |
Mark Ugboh FC Midtjylland | €150K | €500K | -0.25 | Fair Value |
Obule Moses FC Midtjylland | €150K | €500K | -0.25 | Fair Value |
Marinus Larsen Bröndby IF | €150K | €500K | -0.25 | Fair Value |
Daniel Haarbo FC Fredericia | €150K | €500K | -0.25 | Fair Value |
Angelo Nehme AC Horsens | €150K | €500K | -0.25 | Fair Value |
Oliver Roche AC Horsens | €150K | €500K | -0.25 | Fair Value |
Market Overview: Superliga Young Players 2022-23
Our database tracked 128 Superliga Young Players in the 2022-23 season, representing 20 clubs with a combined market value of €178.3M. The average market value for Superliga Young Players was €1.4M, with the average age at 21 years old.
The most valuable young player in the Superliga was Franculino, worth €22.0M and played for FC Midtjylland at 22 years old. The top 5 Young Players averaged €13.6M in market value, including Youssoufa Moukoko and Darío Osorio.
Age distribution showed the youngest tracked young player was Jacob Ambæk (18 years, Bröndby IF, €1.0M), while the oldest was Benjamin Tahirović (23 years, Bröndby IF, €4.5M). Research shows Young Players typically peak at age 26-27.
Historical analysis showed 128 Young Players (100%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Superliga market for Young Players remained actively developing with emerging talent in the 2022-23 season.
How We Rank Superliga Young Players
Our Analytical Strength Index is calibrated specifically for young players, using position-specific age curves and playing time benchmarks. The model draws from academic research on player valuation (Franck & Nüesch, 2012) and age-performance curves (Dendir, 2016).
Scoring Components for ALL
Historical Achievement Index (35%)
Peak career market value for Superliga young players, reflecting proven track record and reputation. Uses log-scale to account for exponential value distribution at elite level.
Current Performance Proxy (30%)
Present market value for Superliga young players, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Midfielders with 2,400+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Midfielders peak at 26-27 with 6.0%/year decline. Pre-peak players score higher on development trajectory.
Competition Level Adjustment (3%)
Superliga competition level factored into comparative strength assessment.
Performance Expectations Multiplier (2%)
Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.
ALL Performance Benchmarks
Peak Age: 26-27 years (technical skill and tactical awareness)
Decline Rate: 6.0% per year (technical skills age better than physical attributes)
Optimal Minutes: 2,400-2,500 per season (balance of involvement and recovery)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Midfielder -6.0%/year post-peak, +5%/year pre-peak
• Value Trajectory: Near career peak (>95% of peak value): +3% momentum | Moderate decline: -5%
• Playing Time Factor: Regular starters (+2%), Squad rotation (-2%)
• Forecast Range: ±12-15% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for young players
• Carmichael et al. (2011): Player depreciation in top leagues
• Franck & Nüesch (2012): Hedonic pricing models for talent valuation
• Szymanski, S. (2015). Money and Soccer: A Soccernomics Guide
Frequently Asked Questions
Common questions about Superliga Young Players in the 2022-23 season
Who are the most valuable Young Players in the Superliga in 2022-23?
The most valuable young player in the Superliga in 2022-23 is Franculino, who is worth €22.0M and plays for FC Midtjylland. The second most valuable is Youssoufa Moukoko (€22.0M, FC Copenhagen), followed by Darío Osorio (€10.0M, FC Midtjylland). Our database tracks 128 Superliga Young Players with comprehensive market valuations updated for the 2022-23 season.
How are Superliga Young Players ranked?
Superliga Young Players are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Players. The score combines six factors: Historical Achievement Index (35%) measuring peak career value, Current Performance Proxy (30%) reflecting recent market signals, Playing Time Utilization (18%) tracking minutes played, Age-Adjusted Performance Curve (12%) using position-specific peak ages, League Quality Coefficient (3%) for Superliga competition level, and Club Tier Multiplier (2%) accounting for club prestige. This methodology is grounded in academic research including work by Dendir (2016) on age-performance curves and Franck & Nüesch (2012) on hedonic pricing models.
What age do Young Players peak?
How much does it cost to sign a top young player from the Superliga?
Transfer fees for Superliga Young Players vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young player Franculino (market value: €22.0M), estimated transfer fees would range from €17.6M to €30.8M depending on contract situation. Players with longer contracts (3+ years) command premium fees (1.2-1.4× market value), while those in the final year may be available for 0.8-1.1× market value. Our fee estimates are derived from historical transfer patterns and contract-clock modifiers validated against actual Superliga transactions.
What is the value forecast for Superliga Young Players?
Our 1-year forecast model projects market value changes for Superliga Young Players based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players gain ~5% per year toward peak age, post-peak players decline at position-specific rates), market trajectory momentum (comparing current to peak value), and playing time confidence (regular starters receive +2% boost). Forecast confidence intervals account for position-specific volatility-midfielders have ±12-15% volatility. Young players (under 22) and older players (over 32) receive 1.15× uncertainty multipliers due to unpredictable development or decline patterns.
Where does the Superliga young player data come from?
Our Superliga young player data is sourced from Football Analytics AI's proprietary Transfer Intelligence Database, which aggregates market valuations, player statistics, contract information, and transfer histories from multiple industry sources. Market values are updated regularly based on player performance, injuries, contract negotiations, and transfer market activity. We enhance this data with our proprietary analytics including position-specific scoring algorithms, age-performance curves calibrated to academic research, and statistical forecast models. All data is validated against official Superliga sources and updated monthly for the 2022-23 season to ensure accuracy for recruitment and investment decisions.